A sports analytics newsletter that walks through football analytics with Python and R, including quarterback accuracy metrics like CPOE, and shares side projects such as a Big Data Bowl contestant directory. It also includes reading notes on sports agent and front-office books for aspiring analysts.
Website: https://channingverse.ghost.io/
Analytical NFL newsletter that builds its own quarterback efficiency models, Bayesian rankings and power rankings, and tests popular football claims against data. Readers get methodology details, projections and evidence-based verdicts on narratives like blown leads.
Michael Caley applies soccer analytics to current questions, such as rule changes, early-season table interpretation and player profiles. Readers get data-driven studies with explained methods and clear conclusions.
Tutorials and analysis on college football ratings, using CollegeFootballData data and Python. Readers get walkthroughs of opponent adjustment, rating methodology and comparisons of team-strength measures with code and real 2025 season examples.
A data-driven newsletter that re-examines popular claims, currently through a multi-part series on why NBA home court advantage has faded. It shows its methods, out-of-sample tests and caveats alongside charts and figures.
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